In this paper, we will design a Fuzzy Smith Predictor (FSP),
then we will model, simulate and analyze it using colored Fuzzy Petri
networks, then we will compare it with a conventional proportional
integral controller.
The main objective of this
research is to reduce the delay time
of the wind turbine system and to increase its reliability, in the other
side, to improve the response and stability of the operating point of
the mechanical energy and reduce vibration caused by the delay time
in the system.
In this article we propose a new graphical method for modeling
sequential controllers using high-level colored Petri nets. We will
present how to build a sequential controller using this method and
analyze its state space. The results in this stud
y showed an
advantage of the controller designed by the new method compared
to which designed algebraically by ordinary Petri net in complex
systems. The new method simplify the sequential controller network
and increase the performance speed and improve the reliability.
